The December 2010 issue of Journal of Bone and Mineral Research was published online on 23 Nov 2010. A pagination error was subsequently identified. This notice is included to indicate that the pagination is now correct and authoritative [20 January 2011].
Mechanical induction of PGE2 in osteocytes blocks glucocorticoid-induced apoptosis through both the β-catenin and PKA pathways†
Article first published online: 24 JUN 2010
Copyright © 2010 American Society for Bone and Mineral Research
Journal of Bone and Mineral Research
Volume 25, Issue 12, pages 2657–2668, December 2010
How to Cite
Kitase, Y., Barragan, L., Qing, H., Kondoh, S., Jiang, J. X., Johnson, M. L. and Bonewald, L. F. (2010), Mechanical induction of PGE2 in osteocytes blocks glucocorticoid-induced apoptosis through both the β-catenin and PKA pathways. J Bone Miner Res, 25: 2657–2668. doi: 10.1002/jbmr.168
- Issue published online: 23 NOV 2010
- Article first published online: 24 JUN 2010
- Accepted manuscript online: 24 JUN 2010 12:00AM EST
- Manuscript Accepted: 11 JUN 2010
- Manuscript Revised: 5 MAY 2010
- Manuscript Received: 11 MAY 2009
- MLO-Y4 CELLS;
- WNT SIGNALING
- Top of page
- Materials and Methods
Glucocorticoids are known to induce osteocyte apoptosis, whereas mechanical loading has been shown to sustain osteocyte viability. Here we show that mechanical loading in the form of fluid-flow shear stress blocks dexamethasone-induced apoptosis of osteocyte-like cells (MLO-Y4). Prostaglandin E2 (PGE2), a rapidly induced signaling molecule produced by osteocytes, was shown to be protective against dexamethasone-induced apoptosis, whereas indomethacin reversed the antiapoptotic effects of shear stress. This protective effect of shear stress was mediated through EP2 and EP4 receptors, leading to activation of the cAMP/protein kinase A signaling pathway. Activation of phosphatidylinositol 3-kinase, an inhibitor of glycogen synthesis kinase 3, also occurred, leading to the nuclear translocation of β-catenin, an important signal transducer of the Wnt signaling pathway. Both shear stress and prostaglandin increased the phosphorylation of glycogen synthesis kinase 3 α/β. Lithium chloride, an activator of the Wnt pathway, also was protective against glucocorticoid-induced apoptosis. Whereas it is known that mechanical loading increases cyclooxygenase-2 and EP2 receptor expression and prostaglandin production, dexamethasone was shown to inhibit expression of these components of the prostaglandin pathway and to reduce β-catenin protein expression. β-catenin siRNA knockdown experiments abrogated the protective effects of PGE2, confirming the central role of β-catenin in mediating the protection against dexamethasone-induced cell death. Our data support a central role for PGE2 acting through the cAMP/PKA and β-catenin signaling pathways in the protection of osteocyte apoptosis by fluid-flow shear stress. © 2010 American Society for Bone and Mineral Research.
- Top of page
- Materials and Methods
Glucocorticoid-induced osteoporosis is the second most common form of osteoporosis in the United States.1 Individuals treated with glucocorticoids have alterations in bone remodeling, including an increase in bone resorption and suppression of bone formation.2 Reductions in trabecular bone mass and trabecular thickness and number are thought to be responsible for increased bone fragility.3–5 These reductions in bone mass are thought to be due to an increase in both osteoblast and osteocyte cell death, or apoptosis. It also has been proposed that the increased fragility in these patients compared with postmenopausal osteoporotic patients is due to changes in the localized material properties of trabecular bone surrounding osteocyte lacunae.6
The most abundant bone cell type is the osteocyte (90% to 95% of all bone cells), terminally differentiated osteoblasts embedded in the mineralized matrix.7 Osteocytes are proposed to coordinate osteoblast and osteoclast activity in response to mechanical stimuli, translating mechanical strain into biochemical signals that ultimately regulate resorption or formation.8, 9 Osteocyte cell death is thought to signal osteoclast recruitment and activation, leading to bone loss,10, 11 and recently, this has been validated in vivo through the use of targeted deletion of osteocytes.12 Osteocyte cell death can occur in association with age and pathologic conditions such as osteoporosis and osteoarthritis, leading to increased bone fragility.13, 14 Such fragility may be due to loss of the ability of the osteocyte to sense microdamage and signal to other bone cells for repair.15 Hence osteocyte viability appears to play a significant role in the maintenance of bone homeostasis and integrity.
Mechanical loading can maintain or increase bone mass, whereas unloading or immobilization results in loss of bone mass. Mechanical loading has been reported to play a role in maintaining osteocyte viability. Reduced mechanical loading in vivo increases the number of osteocytes undergoing apoptosis.16 Shear stress inhibits osteocyte apoptosis induced by low serum,17 and dexamethasone-induced osteocyte apoptosis is attenuated by a form of mechanical loading known as substrate stretching.18 Fluid-flow shear stress (FFSS) is most likely the form of loading to which the osteocyte is exposed.19–21 Primary osteocytes have been shown to be more sensitive to shear stress than osteoblasts or fibroblasts and to substrate stretching compared with hydrostatic compression.22 The biochemical signals induced by mechanical loading responsible for maintaining osteocyte viability are not known. However, it has been shown known that fluid-flow shear stress applied to MLO-Y4 osteocytes results in the release of PGE2, and this leads to activation of β-catenin signaling.23–25 The importance of β-catenin signaling in the prevention of apoptosis is well established in several other systems,26–28 and this raises the possibility that activating this pathway in osteocytes could have a similar protective effect.
This study was undertaken to determine if mechanical loading in the form of fluid-flow shear stress could inhibit glucocorticoid-induced osteocyte apoptosis and, if so, to identify the factor(s) responsible and determine the molecular signaling mechanisms responsible for this protection. Here we show that shear stress prevents osteocyte apoptosis induced by dexamethasone. The protective effect was mediated by prostaglandin E2 (PGE2) through both the classic cAMP/protein kinase A (PKA) pathway and crosstalk between the phosphatidylinositol 3-kinase (PI3K)/Akt and β-catenin signaling pathways in osteocyte-like MLO-Y4 cells. Dexamethasone inhibited β-catenin stabilization and the expression of its target genes in addition to its inhibitory effects on cyclooxygenase-2 (COX-2) and EP2 receptor gene expression and PGE2 production. This study may have important implications for the treatment of glucocorticoid-induced osteoporosis because the pathways used by shear stress contain molecular elements that could serve as therapeutic targets.
Materials and Methods
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- Materials and Methods
The osteocyte-like MLO-Y4 cell line, derived from murine long bone,29 was used as an in vitro osteocyte model. MLO-Y4 cells were cultured on collagen type I–coated plates or glass slides (rat tail collagen type I, 0.15 mg/mL) in α-MEM without phenol red supplemented with 2.5 % fetal bovine serum (FBS), 2.5% calf serum (CS) in a 5% CO2 incubator at 37°C.
Fluid-flow shear-stress (FFSS) experiment
MLO-Y4 cells were plated on glass slides coated with type I collagen at a density of 3 × 104 cells/cm2 and were used at approximately 80% confluence. Cells were subjected to 16 dyn/cm2 steady laminar FFSS for 2 hours in the presence or absence of 1 µM indomethacin. After incubation for 2 hours, 1 µM dexamethasone (Sigma-Aldrich, St Louis, MO, USA) was added for an additional 6 hours to induce apoptosis. Pretreatment was performed with indomethacin 12 hours before application of FFSS, during FFSS, and during the 2-hour postincubation time. Cells were fixed with neutral buffered formalin and stained with DAPI. Cells that showed nuclear condensation, blebbing, and fragmentation were counted as apoptotic cells. Four fields per each slide and 500 cells were counted from each field under the microscope (n = 3).
Quantification of apoptotic cells
Apoptotic cells were quantified by nuclear fragmentation assay and trypan blue exclusion assay, as described previously.30 MLO-Y4 cells were plated at 1 × 104 cells/cm2 on a collagen-coated 48-well plate, with three to four wells used for each experimental condition. Representative examples of each assay are shown. Cells were pretreated with varying concentrations of PGE2 (Sigma-Aldrich), 5 µM butaprost, 5 µM sulprostone, 5 µM PGE1 alcohol (Cayman Chemical, Ann Arbor, MI, USA), 100 µM 8-bromo-cAMP (Sigma-Aldrich), or 10 mM LiCl for 1 hour, followed by treatment with 1 µM of dexamethasone for 6 hours. If necessary, cells were pretreated with 5 µM of EP2 antagonist AH6809 (6-isopropoxy-9-oxoxanthene-2-carboxylic acid; Cayman Chemical), 5 µM of EP4 antagonist CP-147499 (kindly provided by Dr Lydia Pan, Pfizer, Inc., Groton, CT, USA), 5 µM of H89 (isobutylmethylxanthine; Sigma-Aldrich), or 1 µM of wortmannin (Sigma-Aldrich) for 0.5 to 1 hour prior to addition of PGE2. For the nuclear fragmentation assay, MLO-Y4 cells were stained with DAPI. Cells exhibiting chromatin condensation and nuclear fragmentation were detected by fluorescence microscopy. A total of 500 cells were examined for each experimental condition by systematic random sampling. The percentage of MLO-Y4 cells stained with trypan blue has been shown previously to correlate with that of apoptotic cells.30 For the trypan blue assay, after treatment, adherent cells released by trypsin-EDTA were combined with nonadherent cells and collected by centrifugation. Then 0.04% trypan blue (Sigma-Aldrich) was added, and cells exhibiting both nuclear and cytoplasmic staining were determined using a hemocytometer under a light microscope. A total of 100 cells per each experimental condition were counted.
Western blot analysis
For Western blot studies, MLO-Y4 cells were grown on type I collagen–coated 6-well plates or glass slides at 1 × 104 cells/cm2. At the various indicated time points, cells were treated with (1) 16 dyn/cm2 FFSS or (2) incubated with 5 µM of PGE2 in the presence or absence of preincubation with wortmannin or H89 for 0.5 to 1 hour. As a positive control, cells were treated with 10 mM of LiCl, which inhibits glycogen synthesis kinase 3 (GSK-3). After each treatment, the cells were washed with cold PBS twice and lysed with RIPA buffer including proteinase and phosphatase inhibitors (Sigma-Aldrich). The lysates were sheared using a 22-gauge needle, centrifuged at 12,000 rpm for 10 minutes at 4°C, and the supernatants were collected. The cell lysate and sample buffer were mixed and boiled for 5 minutes before loading on the gel. Proteins (5 µg) were separated by SDS-PAGE under constant voltage (160 V) and were transferred electrophoretically to a nitrocellulose membrane (Bio-Rad, Hercules, CA, USA) at a 60-V constant current for 2 hours. The membranes were blocked in a blocking solution overnight at 4°C and incubated with the primary antibody [anti-phospho-GSK3α/β (1:1000; R&D Systems, Minneapolis, MN, USA), anti-GSK-3α, anti-GSK-3β (1:1000; Cell Signaling Technology, Danvers, MA, USA), anti-β-catenin (1:4000; Abcam, Cambridge, MA, USA), or anti-actin (1:4000; Sigma-Aldrich)] overnight at 4°C. The blots were incubated with a horseradish peroxidase–linked secondary antibody (antirabbit/antimouse IgG; Boehringer, Mannheim, Germany) for 2 hours at a room temperature. Afterwards, the immunoblots were visualized with a chemiluminescence detection kit (Pierce, Rockford, IL, USA). The semiquantitative analysis of band intensity was performed using an EPSON scanner and NIH Image 1.63 software. The intensity of GSK-3α/β total protein and actin was used for normalization of phosphorylated GSK-3α/β.
MLO-Y4 cells were grown on type I collagen–coated glass slides at 1 × 104 cells/cm2 and then treated with 16 dyn/cm2 FFSS or 5 µM of PGE2 for 2 hours. As a positive control, cells were treated with 10 mM of LiCl. After each treatment, the cells were washed with cold PBS twice, fixed in cold 4% paraformaldehyde–0.02% Triton for 5 minutes, and washed three times with PBS. The slides were blocked with a blocking solution overnight at 4°C and incubated with the primary antibody against β-catenin (E-17) (1:100, Santa Cruz Biotechnology, Inc., Santa Cruz, CA, USA) overnight at 4°C in a humidified chamber. After washing with PBS three times, a Cy3-labeled secondary donkey antigoat IgG antibody (1:200; Jackson, ImmunoResearch, West Grove, PA, USA) was incubated on the sections for 1 hour at room temperature and then washed with PBS six times. Coverslips were mounted with mounting medium (9:1 glycerol/PBS plus 5% N-propyl gallate). Digital images were acquired with an optronics camera and analyzed with imager software. As negative controls, the primary antibody was omitted from the staining procedure.
mRNA isolation and microarray analysis
Gene array analysis was performed on MLO-Y4 cells treated with dexamethasone for 4 and 24 hours. After each treatment, total RNA was isolated from cells using TRIzol Reagent (Invitrogen, Carlsbad, CA, USA). cDNA was made and denatured, labeled, and then hybridized to the mouse genome 430A 2.0 array chips (Affymetrix, Santa Clara, CA, USA). A set of microarray hybridization experiments was performed according to the manufacturer's protocols. After hybridization, microarray experiments were analyzed for expression changes based on the GCOS package with no statistical evaluation except the default with one array per condition and present and absent calls of the software.
Quantitative real-time polymerase chain reaction (qRT-PCR)
In addition, 1 × 104 cells/cm2 of MLO-Y4 cells were incubated in 100-mm tissue culture plates in the presence or absence of 1 µM of dexamethasone for 6, 24, and 48 hours. After treatment, total RNA was extracted using TRIzol Reagent (Invitrogen) and reverse transcribed at 48°C for 30 minutes using a Taqman Reverse Transcription Reagents Kit (Applied Biosystems, Austin, TX, USA) in a final volume of 20 µL. Two microliters of cDNA were used as template for amplification by PCR. Taqman real-time quantitative PCR (qPCR) analysis for COX-2 (Applied Biosystems, Cat. No. Mm01307334_g1), EP2 receptor (Applied Biosystems, Cat. No. Mm00436051_m1), and glyceraldehyde-3-phosphate dehydrogenase (GAPDH; Applied Biosystems, Cat. No. 4308313) was performed as described by the manufacturer's protocol using premade Taqman gene expression assays (Applied Biosystems). GAPDH expression levels were used as reference for normalization.
β-Catenin siRNA experiments
MLO-Y4 cells were plated at 1 × 104 cells/cm2 on collagen-coated 6-well plates 1 day prior to the start of the β-catenin siRNA experiment. Cells were transiently transfected with siRNA oligonucleotides (50 nM) using Oligofectamine Reagent (Invitrogen). β-Catenin siRNA and negative-control RNA were purchased from Ambion (Austin, TX, USA). Reduction of β-catenin mRNA levels was measured by qPCR 24 hours after transfection, and protein levels were analyzed by Western blotting 48 hours after transfection. At 48 hours after transfection, the cells were exposed to 5 µM of PGE2 for 2 hours, followed by 1 µM of dexamethasone for 6 hours. After treatment, apoptotic cells were determined by trypan blue staining, as described earlier. A total of 100 cells per each experimental condition were counted.
Enzyme-linked immunosorbent assay (ELISA)
MLO-Y4 cells were incubated in 48-well plates at 1 × 104 cells/0.3 mL of medium per well in the presence or absence of 1 µM dexamethasone for 24 and 48 hours. After treatment, supernatants were collected, and the concentrations of soluble PGE2 were assayed using a commercially available kit (Prostaglandin E2 EIA, Cayman Chemical), according to manufacturer's protocols.
All data are presented as mean ± SD and n = 3 to 4. The statistical significance of difference between mean values was determined by one-way ANOVA followed by Tukey-Kramer post hoc analysis. All comparisons at p < .05 were considered significant.
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- Materials and Methods
FFSS is protective against dexamethasone-induced osteocyte apoptosis owing to a soluble factor and indomethacin abrogates the protective effect of FFSS
Since mechanical loading has been reported to play an important role in maintaining osteocyte viability, we performed nuclear fragmentation and trypan blue exclusion assays to examine the effect of FFSS on apoptosis in MLO-Y4 osteocyte-like cells (Table 1). Treatment of MLO-Y4 cells with 1 µM of dexamethasone for 6 hours resulted in an approximately 50% increase in the number of apoptotic cells measured by either nuclear fragmentation or trypan blue exclusion. Two hours of 16 dyn/cm2 steady FFSS effectively protected against the dexamethasone-induced apoptosis. Since FFSS is well known to rapidly induce release of prostaglandins from osteocytes31 and MLO-Y4 cells,32 we examined the effects of indomethacin, a potent inhibitor of prostaglandin synthesis. In the presence of 1 µM of indomethacin, present during the entire experimental time, the protective effects of FFSS were significantly abrogated. In addition, harvested conditioned media from cells subjected to FFSS blocked dexamethasone-induced apoptosis, indicating that a soluble factor produced by MLO-Y4 cells might be mediating the protective effect of FFSS (Table 1).
|Nuclear fragmentation (apotosis %)|
|Control||8.75 ± 0.80|
|Dexamethasone||12.78 ± 0.45a|
|FFSS + dexamethasone||9.03 ± 0.85b|
|Indo/FFSS/dexamethasone||12.99 ± 0.35a|
|Trypan blue exclusion (dead cell %)|
|Control||7.24 ± 0.64|
|Dexamethasone||11.37 ± 1.24a|
|FFCM + dexamethasone||7.13 ± 1.31b|
|PGE2 + dexamethasone||9.31 ± 0.60b|
Exogenous addition of PGE2 protects against dexamethasone-induced MLO-Y4 cell apoptosis
Since indomethacin effectively abrogated the protective effect of FFSS on dexamethasone-induced apoptosis (Table 1), we next examined whether exogenous addition of PGE2 would have the same antiapoptotic protective effect using both the nuclear fragmentation assay and trypan blue exclusion assay and to determine the optimal dose response (Table 2). Both assays revealed that PGE2 (10−5 to 10−8 M) was able to prevent or reduce MLO-Y4 cell apoptosis induced by dexamethasone. Taken together, these data support the hypothesis that PGE2 release in response to FFSS is protective against glucocorticoid-induced osteocyte apoptosis.
|Condition||Nuclear fragmentation (% apoptotic cells)||Trypan blue (% dead cells)|
|Control||11.45 ± 1.34||8.48 ± 0.63|
|Dexamethasone||18 ± 1.71a||17.22 ± 2.66a|
|Dexamethasone + 10−8 PGE2||15.4 ± 0.35bc||13.80 ± 1.14ac|
|Dexamethasone + 10−7 PGE2||15.13 ± 0.31bc||11.77 ± 0.63ad|
|Dexamethasone + 10−6 PGE2||10.67 ± 0.92d||9.75 ± 2.53d|
|Dexamethasone + 10−5 PGE2||nd||9.11 ± 1.01d|
The protective effect of PGE2 is mediated through EP2 and EP4 receptors
Since PGE2 was able to protect against the effects of dexamethasone, it was logical to ask whether dexamethasone affected intracellular stores of PGE2 in MLO-Y4 cells and whether (which) PGE2 receptors mediated the PGE2 protection. As shown in Fig. 1A, MLO-Y4 cells treated with dexamethasone for 24 and 48 hours produced 7.5 (control 1854 ± 57, dexamethasone 246 ± 23a pg/104 cells) and 9 (control 1174 ± 67, dexamethasone 131 ± 4a pg/104 cells) fold less PGE2, respectively, compared with control, as determined by ELISA (p < .001 versus each control). Next, we determined which receptor is responsible for the protection of PGE2 against osteocyte apoptosis. PGE2 is known to exert its effects through four different types of receptors, EP1, EP2, EP3, and EP4.33 Therefore, we examined the effect of pharmacologic activators and inhibitors of EP receptors on osteocyte cell death (Fig. 1B–D). Addition of 5 µM of butaprost, an EP2 agonist, prevents dexamethasone-induced cell death to a similar extent as 5 µM of PGE2. However, 5 µM of sulprostone, an EP1/EP3 agonist, did not inhibit osteocyte cell death. Similarly, 5 µM of PGE1 alcohol, another EP3/EP4 receptor agonist, did not statistically inhibit cell death (Fig. 1B). These data suggest that the protective effect of PGE2 is mediated through EP2 and EP4, but not EP1 and EP3 receptors. To further verify the involvement of EP2 and EP4 receptors in the protective function of PGE2, selective antagonists against each receptor were tested. Five micromolar AH6809, an EP2 selective antagonist, partially but significantly reversed the protective effect of PGE2 (Fig. 1B). Five micromolar CP-147499, an EP4 selective antagonist (Fig. 1D), was less effective than the EP2 selective antagonist AH6809 (Fig. 1C).
The cAMP/PKA pathway partially mediates the protective effect of PGE2
EP2 and EP4 receptors are coupled to trimeric G-proteins, and one pathway they can act through is by activation of adenylyl cyclase, which increases intracellular cAMP and results in the activation of protein kinase A (PKA). Therefore, we tested whether an increase in intracellular cAMP would protect MLO-Y4 cells against dexamethasone-induced cell death (Fig. 2). As shown in Fig. 2A, 100 µM of 8Br-cAMP was as protective as PGE2, and the PKA inhibitor H89 at 5 µM significantly blocked the protective effect of PGE2 (Fig. 2B).
The protective effect of PGE2 is also mediated via the PI3K/Akt/GSK-3/β-catenin pathway
PGE2 has been shown to activate the PI3K/Akt signaling pathway,34 stimulate the growth and survival of colon cancer cells through crosstalk with the β-catenin pathway,35, 36 and activate β-catenin signaling in MLO-Y4 osteocyte-like cells.24, 25 In addition, this pathway is activated in response to FFSS in MLO-Y4 osteocyte-like cells.24, 25 Therefore, we sought to determine if PI3K also might be involved in the protective effects of PGE2 against dexamethasone-induced apoptosis. The inhibition of PI3K by wortmanin was able to reverse the protective effects of PGE2 on dexamethasone-induced apoptosis (Fig. 3A). Next, we examined the effect of lithium chloride (LiCl) on MLO-Y4 cell death induced by dexamethasone because LiCl is well known to activate the β-catenin pathway through the inhibition of GSK-3α/β kinase activity. In fact, 10 mM of LiCl showed highly significant protective effects, similar to PGE2, against dexamethasone-induced MLO-Y4 cell death (Fig. 3B). This suggested that the PI3K and β-catenin pathway mediate the protective effects of PGE2.
Next, we tested whether both FFSS and PGE2 could lead to increased phosphorylation/inactivation of GSK-3α/β (Fig. 4). In fact, 5 µM of PGE2 effectively increased the phosphorylation of GSK-3α and GSK-3β by approximately twofold at about 45 minutes (Fig. 4A). FFSS at 16 dyn/cm2 increased GSK-3α/β phosphorylation similar to PGE2. Western blot analysis revealed that FFSS was able to increase the phosphorylation of both GSK-3α and GSK-3β isoforms by approximately three- to fourfold at 45 minutes compared with the negative control (Fig. 4B). Both FFSS and PGE2 showed similar kinetics, reaching a peak effect at 45 minutes, the same time point showing maximal phosphorylation induced by FFSS.
To validate that PI3K is upstream of GSK-3β inhibition, cells exposed to either PGE2 or to FFSS were treated with the PI3K inhibitor wortmannin. The inhibition of PI3K reversed the protective effects of PGE2 on dexamethasone-induced apoptosis (Fig. 3A). Wortmannin at 10−6 to 10−7 M inhibited the phosphorylation of GSK-3 induced by 5 µM of PGE2 dose-dependently, with maximum inhibition at 10−6 M (Fig. 5A). Similar to PGE2, the phosphorylation of GSK-3α/β induced by FFSS also was blocked by addition of 1 µM of wortmannin (Fig. 5B). We have shown previously that PGE2 increases intracellular cAMP and activates PKA in MLO-Y4 cells.32 PKA kinase has been shown to mediate phosphorylation of GSK-3α/β.34, 37, 38 The PKA inhibitor H89 at 5 µM completely blocked PKA activity in MLO-Y4 cells39 but did not inhibit the phosphorylation of GSK-3α/β (Fig. 5C). This suggests that the effects of PGE2 on GSK phosphorylation are mediated through PI3K but not PKA activity.
FFSS, LiCl, and PGE2 promote nuclear translocation, whereas dexamethasone inhibits stabilization of β-catenin
Both FFSS and PGE2 induced β-catenin nuclear translocation, similar to LiCl (positive control), as shown in Fig. 6. Clearly, nuclear translocation of β-catenin occurs in MLO-Y4 cells subjected to either FFSS or to PGE2, as indicated by the bright nuclear staining (Fig. 6A). This shows that both PGE2 and FFSS target β-catenin to the nucleus. Next, siRNA knockdown experiments were performed using siRNA to β-catenin. Western blotting showed that β-catenin protein was significantly reduced fourfold at 48 hours after transfection (Fig. 6B). qPCR showed that β-catenin mRNA decreased 86% compared with the RISC-free negative control at 24 hours after transfection (Fig. 6B). Cells were transiently transfected with siRNA oligonucleotides targeting β-catenin and RISC-free negative control for 48 hours, followed by incubation with 5 µM of PGE2 for 2 hours (Fig. 6C). The cells then were exposed to 1 µM of dexamethasone for 6 hours. β-catenin silencer siRNA reversed the protective effect of PGE2, whereas the RISC-free negative control had no significant effect. Transfection of siRNA oligonucleotides alone had no significant effect. Vehicle, siRNA alone, or RISC alone had no significant effect. Knockdown of β-catenin blocked the protective effect of PGE2 against the dexamethasone-induced apoptosis.
Next, Western blot analysis of β-catenin in MLO-Y4 cells treated with 10 mM LiCl, 5 µM PGE2, and FFSS at 16 dyn/cm2 was performed to determine if these treatments altered protein levels. No major change in total protein expression was observed compared with control (data not shown). However, dexamethasone decreased the amount of β-catenin protein approximately 40% compared with control (Fig. 6D).
To determine if dexamethasone has an effect on upstream mediators of the β-catenin pathway, we investigated the effects of dexamethasone on expression of PGE2 synthase (COX-2) and the EP receptors (Table 3). The relative expression of mRNA for the cyclooxygenase isoenzymes COX-1 and -2 and the PGE2 receptors EP1 to EP4 in MLO-Y4 cells treated with 1 µM of dexamethasone for 4 and 24 hours using cDNA microarray analysis is shown in Table 3A. COX-2 mRNA was inhibited by dexamethasone treatment, 2- and 15-fold lower at 4 and 24 hours, respectively, compared with control. Dexamthasone decreased EP2 receptor mRNA levels to a greater extent than the other three receptors, approximately threefold lower than control at 24 hours. The positive controls in this experiment were GILZ (glucocorticoid-induced leucine zipper) and FKBP51 (FK-506-binding protein), which have been reported previously to be increased by glucocorticoids.40, 41 Validation of the gene array approach by qRT-PCR showed mRNA expression of COX-2 and EP2 receptor in MLO-Y4 cells to be significantly reduced by dexamethasone at each time point (6, 24, and 48 hours) (Table 3B).
|Gene||4 hours||24 hours|
|Ptger1 (EP1 receptor)||0.80||1.08|
|Ptger2 (EP2 receptor)||0.80||0.34a|
|Ptger3 (EP3 receptor)||0.89||0.84|
|Ptger4 (EP4 receptor)||0.74||0.92|
|COX-2 relative to control (Ctrl)||EP2 receptor relative to control (Ctrl)|
|Ctrl—6 h||1.0 (0.88–1.14)||1.0 (0.64–1.57)|
|Dex—6 h||0.26 (0.19–0.35)||0.11 (0.08–0.16)|
|Ctrl—24 h||1.0 (0.85–1.18)||1.0 (0.63–1.58)|
|Dex—24 h||0.19 (0.14–0.24)||0.23 (0.17–0.31)|
|Ctrl—48 h||1.0 (0.84–1.18)||1.0 (0.79–1.27)|
|Dex—48 h||0.04 (0.03–0.05)||0.22 (0.18–0.26)|
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- Materials and Methods
We describe for the first time a mechanism that connects fluid-flow shear stress (FFSS)–induced release of PGE2 with downstream signaling pathways that protect osteocytes against dexamethasone-induced apoptosis. Shear stress was shown to prevent apoptosis induced by dexamethasone in MLO-Y4 osteocyte-like cells by inducing PGE2 release and its subsequent binding to EP2 and EP4 receptors activating both the cAMP/PKA and PI3K/Akt/GSK-3α/β/β-catenin pathways. Dexamethasone inhibited β-catenin stabilization and the expression of downstream target genes in addition to inhibiting genes responsible for prostaglandin production and signaling, COX-2 and the EP2 receptor. An important function for prostaglandin has been identified, which is as an antiapoptotic agent for osteocytes that provides protection against glucocorticoid-induced apoptosis. The results of our studies are illustrated in the model shown in Fig. 7.
The osteocyte lacunocanalicular system is filled with bone fluid, and it is hypothesized that it is the movement of this fluid that maintains osteocyte viability by preventing hypoxia in these cells deeply embedded in a mineralized matrix.42, 43 In addition to maintaining osteocyte viability, movement of the bone fluid most likely induces shear stress on the cell membrane of the cell body and along the dendritic process traveling through canaliculi.44 This shear stress is thought to be the means whereby the cells sense load on the skeleton.45 Mechanical loading is well known to maintain osteocyte viability, and physiologic levels of mechanical loading were shown to prevent apoptosis of osteocytes in vivo.17 Alternatively, reduced mechanical loading increases the number of apoptotic osteocytes.16 In vitro, mechanical loading reduces the number of osteocytes undergoing apoptosis induced by serum starvation46 and by dexamethasone,18 but the molecular mechanisms have not been reported. These studies suggest that one potential agent produced by osteocytes in response to mechanical loading is PGE2, and our data suggest that it functions as an osteocyte viability factor.
Evidence is emerging that PGE2 can function as either a pro- or an antiapoptotic factor. It has been reported that PGE2 can function as a protective factor in several types of cells, such as epithelial cells, dendritic cells, and neurons.47–49 In bone cells, PGE2 was shown to exert an antiapoptotic effect on bone marrow stromal cells and periosteal cells, thereby increasing their number and subsequent osteoblastic differentiation.49, 50 There are also opposing reports showing that PGE2 can induce apoptosis in several types of cells, such as articular chondrocytes.51 Thus the effect of PGE2 in cell survival or apoptosis may depend on cell and/or tissue type.
PGE2 can bind to four subtypes of cell surface receptors, designated EP1 through EP4.33 EP2 and EP4 receptors activate and signal through adenylyl cyclase, EP1 activates phospholipase C, and EP3 actually inhibits adenylyl cyclase.33, 52, 53 By using agonists and antagonists to each receptor, we observed that the effects of PGE2 were mediated mainly through the EP2 receptor, with less activation of the EP4 receptor. These same receptors have been shown to mediate the effects of PGE2 on survival of bone marrow stromal cells and periosteal cells.49, 50 Activated adenylate cyclase via EP2 and EP4 receptors increases cAMP, leading to activation of PKA.53 In this study, the use of a cAMP analogue, 8Br-cAMP, and a PKA inhibitor, H89, showed that the cAMP/PKA pathway is involved in the protective effects of PGE2. This suggests that activation of the cAMP/PKA pathway also plays a critical role in maintaining osteocyte viability.
However, in this study, the protective effects of PGE2 were not completely mediated through the activation of the cAMP/PKA signaling cascade. PGE2 also can activate multiple signaling cascades, including the MAPK, NF-κB, and PI3K/Akt pathways,54–56 and recently, it has been reported to crosstalk with and activate the β-catenin signaling pathway, well known to play an important role in cell survival.35 In colon cancer, PGE2 activates the EP2 receptor, leading to activation of PI3K and the protein kinase Akt by free G-protein βγ subunits and the direct association of the G-protein αs subunit with axin. This leads to collapse of the degradation complex and β-catenin nuclear accumulation responsible for colon cancer cell viability.35 The protective effects of PGE2 in neurons also have been reported to occur by transactivation of β-catenin.57
In this study, we observed that activation of the β-catenin pathway by LiCl resulted in the rescue of osteocytes from cell death. The use of the PI3K inhibitor wortmannin also prevented the phosphorylation of GSK-3, partially abrogating the antiapoptotic effects of PGE2. Together these data indicate that the PI3K/Akt/GSK-3/β-catenin pathways also play a key role in PGE2-mediated osteocyte survival. Similar observations were made with regard to the antiapoptotic actions of PGE2 in neurons.57 Therefore, the protective effects of PGE2 appear to be mediated through multiple signaling cascades.
Previous studies in transgenic mice carrying the G171V or HBM (high-bone-mass) mutation in Lrp5 have shown decreased osteoblast and osteocyte apoptosis in the bones of these mice.58 The Lrp5 coreceptor that binds Wnt and regulates the Wnt/β-catenin signaling pathway is absolutely required for new bone formation in response to mechanical loading.59 The data presented here extend these in vivo observations by demonstrating that a normal function of β-catenin signaling in osteocytes is maintenance of cell viability. Our data further illustrate the complex and multiple interactions (Fig. 7) that exist within bone cells between various signaling pathways and that understanding osteocyte function will require a thorough knowledge of how these pathways are coordinately regulated in response to various perturbations.
In summary, PGE2 produced by osteocytes in response to mechanical strain shows a protective function against glucocorticoid through activation of several signaling cascades. Since osteocyte cell death is a potential mediator of targeted osteoclast recruitment, preservation of osteocyte viability is another area of investigation for the prevention or attenuation of primary and secondary osteoporosis and other bone-related diseases. It will be important to determine if increased mechanical loading alone or in combination with therapeutics will reduce or prevent the detrimental effects of glucocorticoid on osteocyte viability and bone integrity.
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- Materials and Methods
All the authors state that they have no conflicts of interest.
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- Materials and Methods
We would like to acknowledge Dr Stephen E Harris, University of Texas Health Science Center in San Antonio, for assistance and advice with regard to generation of the gene array data and the technical support of Dr Yan Wang, UMKC. This work was supported by NIH/NIAMS Grants PO1 AR046798 (LFB) and RO1 AR053949 (MLJ).
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- Materials and Methods
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